@article{b6d1ce63c46c44b2aae63297b634b265,
title = "Intermittency of Large Methane Emitters in the Permian Basin",
abstract = "The Permian Basin is the largest and fastest growing oil and gas (O&G) producing region in the United States. We conducted an extensive airborne campaign across the majority of the Permian in September-November, 2019 with imaging spectrometers to quantify strong methane (CH4) point source emissions at facility-scales, including high frequency sampling to evaluate intermittency. We identified 1100 unique and heavy-tailed distributed sources that were sampled at least 3 times (average 8 times), showing 26% average persistence. Sources that were routinely persistent (50-100%) make up only 11% of high emitting infrastructure but 29% of quantified emissions from this population, potentially indicative of leaking equipment that merits repair. Sector attribution of plumes shows that 50% of detected emissions result from O&G production, 38% from gathering and boosting, and 12% from processing. This suggests a 20% relative shift from upstream to midstream compared to other US O&G basins for large emitters. Simultaneous spectroscopic identification of flares found that 12% of detected Permian CH4 plume emissions were associated with either active or inactive flares. Frequent, high-resolution monitoring is necessary to accurately understand intermittent methane superemitters across large, heterogeneous O&G basins and efficiently pinpoint persistent leaks for mitigation.",
author = "Cusworth, {Daniel H.} and Duren, {Riley M.} and Thorpe, {Andrew K.} and Winston Olson-Duvall and Joseph Heckler and Chapman, {John W.} and Eastwood, {Michael L.} and Helmlinger, {Mark C.} and Green, {Robert O.} and Asner, {Gregory P.} and Dennison, {Philip E.} and Miller, {Charles E.}",
note = "Funding Information: This work was supported in part by NASA{\textquoteright}s Carbon Monitoring System and Advanced Information Information System Technology programs as well as the University of Arizona. We would like to acknowledge the contributions of the AVIRIS and GAO flight and instrument teams, including Brian Bue, and David R. Thompson. We would also like to thank Nicole Downey and her team at Earth System Sciences, LLC, for helpful discussions and input on source attribution analysis. We thank Deborah Gordon, Fran Reuland, and TJ Kirk at the Rocky Mountain Institute (RMI) for help accessing data from the Climate Action Engine: oil and gas metadata were compiled from various public sources, including the Texas Railroad Commission, US Department of Transportation, US Environmental Protection Agency, Energy Information Administration, US Geological Survey, and other sources. These data and associated analytics are integrated into a single emissions platform, the Climate Action Engine, developed by RMI in partnership with Spherical Analytics. RMD acknowledges financial support from the High Tide Foundation. A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004). Government sponsorship acknowledged. Publisher Copyright: {\textcopyright} 2021 American Chemical Society.",
year = "2021",
month = jul,
day = "13",
doi = "10.1021/acs.estlett.1c00173",
language = "English (US)",
volume = "8",
pages = "567--573",
journal = "Environmental Science and Technology Letters",
issn = "2328-8930",
publisher = "American Chemical Society",
number = "7",
}